An IoT Assisted Secured Healthcare Management Scheme based on RFID and Crypto Security Enhancement Model

• Published in: 2022 International Conference on Inventive Computation Technologies (ICICT) pp. 1016 - 1023
• Main Authors: Kumar, A. Sivanesh, Gobinath, D., Nithiyanandam, N., Vijayakarthik, P., Dhanasekaran, S., Rajkumar, G. Vinoth
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.07.2022
• Subjects: Authentication; Cloud computing; Computational modeling; Crypto Security Enhancement Model; Fog Computing; Internet of Things; Lightweight; Medical services; Privacy; Protection and Confidentiality; Protocols; Servers
• ISSN: 2767-7788
• DOI: 10.1109/ICICT54344.2022.9850896

The primary goal of this system is to constantly monitor the patient's health and transmit the information to the server through an Advanced Internet of Things [IOT]. Caregivers may promptly observe or monitor the current location of patients without any concealed activities. The goal is to achieve a high level of accuracy and quickness. Internet of Things (IoT) is a benefit to communication since it links individuals across the world through a global media. IoT's primary goal is to provide tiny devices with a robust network connection while protecting their privacy. In this system, the focus is on medication system-based health care surveillance with suitable privacy settings using Lightweight RFID Protocol. In terms of access control, this solution makes it possible for worldwide servers to see patient information. Nobody can fool the caretakers; no one can hide the patient health summary; and no one has a restriction to know the true state of the patient with this system in place. Using IoT technologies and the Lightweight RFID Protocol, this system utilizes an innovative framework dubbed the Crypto Security Enhancement Model for Structural Health Monitoring (SHM). IoT and SHM systems with implementation of the Lightweight RFID Protocol and a data routing method in an IoT context are highlighted in this paper. Centralized cloud data centers are the foundation of cloud computing. All of the IoT devices' data is managed by a single central server. These difficulties include latency, bandwidth utilization, real-time response delays as well as protection and privacy concerns when integrating IoT with the cloud. As a result, the notion of edge computing as well as fog computing was born. Increasing amounts of data are being created by sensors mounted on structures, which necessitates the use of big data solutions to cope with the complicated and massive amounts of data.